bioRxivEvolutionary BiologyPreprint
The lack of simplicity in sequence-fitness relationships
Abstract
AO_SCPLOWBSTRACTC_SCPLOWGene interactions play an important role in the development of antimicrobial drug resistance and other evolutionary processes of medical importance. Empirical studies have revealed multiple peaks, inaccessible trajectories, and constraints on mutation order. Higher order epistasis is associated with obstacles in fitness landscapes. However, its significance has been debated in recent years, sometimes through reinterpretations of data from previous publications. We suggest that local higher order interactions may help reconcile these seemingly contradictory findings. Rank order based methods can be informative when other methods fail to detect consequential interactions. In addition to conventional rank order methods, including sign epistasis, we introduce signed bipyramids. A bipyramid interaction compares extreme genotypes against their intermediates, for example a triple mutant and the wild-type against the corresponding single mutants. In general, interactions are signed if they are implied by the rank order alone.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Inferring Genetic Interactions From Comparative Fitness Data
K. Crona, A. Gavryushkin, … N. Beerenwinkel·bioRxiv·Nov 22, 2017
- The influence of higher-order epistasis on biological fitness landscape topography
D. M. Weinreich, Y. Lan, … R. B. Heckendorn·bioRxiv·Jul 18, 2017
- Relation between the number of peaks and the number of reciprocal sign epistatic interactions
R. Saona, F. A. Kondrashov, K. A. Khudiakova·bioRxiv·Jan 23, 2022
- Quantifying higher-order epistasis: beware the chimera
Uthsav Chitra, Brian Arnold, Benjamin J. Raphael·bioRxiv·Jul 17, 2024
- The geometry of partial fitness orders and an efficient method for detecting genetic interactions
C. Lienkaemper, L. Lamberti, … A. Gavryushkin·bioRxiv·Apr 10, 2018
- Protein fitness landscapes are simpler under evolutionary distributions
Darin Tsui, Kunal Talreja, Amirali Aghazadeh·bioRxiv·Jul 10, 2026